Tag
#MIT Schwarzman College of Computing
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Five with MIT ties elected to National Academy of Medicine for 2025
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Creating AI that matters
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New software designs eco-friendly clothing that can reassemble into new items
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Method teaches generative AI models to locate personalized objects
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MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI
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Using generative AI to diversify virtual training grounds for robots
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Fighting for the health of the planet with AI
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New prediction model could improve the reliability of fusion power plants
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AI maps how a new antibiotic targets gut bacteria
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Responding to the climate impact of generative AI
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New AI system could accelerate clinical research
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How to build AI scaling laws for efficient LLM training and budget maximization
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Machine-learning tool gives doctors a more detailed 3D picture of fetal health
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DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
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A greener way to 3D print stronger stuff
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A new generative AI approach to predicting chemical reactions
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3 Questions: The pros and cons of synthetic data in AI
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3 Questions: On biology and medicine’s “data revolution”
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MIT researchers develop AI tool to improve flu vaccine strain selection
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Simpler models can outperform deep learning at climate prediction
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A new way to test how well AI systems classify text
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Eco-driving measures could significantly reduce vehicle emissions
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MIT tool visualizes and edits “physically impossible” objects
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New algorithms enable efficient machine learning with symmetric data
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Robot, know thyself: New vision-based system teaches machines to understand their bodies
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A new way to edit or generate images
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The unique, mathematical shortcuts language models use to predict dynamic scenarios
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Can AI really code? Study maps the roadblocks to autonomous software engineering
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How to more efficiently study complex treatment interactions
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AI shapes autonomous underwater “gliders”
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Study could lead to LLMs that are better at complex reasoning
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Using generative AI to help robots jump higher and land safely
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LLMs factor in unrelated information when recommending medical treatments
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Unpacking the bias of large language models
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Photonic processor could streamline 6G wireless signal processing
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Inroads to personalized AI trip planning
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AI-enabled control system helps autonomous drones stay on target in uncertain environments
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Teaching AI models what they don’t know
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Teaching AI models the broad strokes to sketch more like humans do
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An anomaly detection framework anyone can use
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Building networks of data science talent
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AI learns how vision and sound are connected, without human intervention
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Learning how to predict rare kinds of failures
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With AI, researchers predict the location of virtually any protein within a human cell
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Study shows vision-language models can’t handle queries with negation words
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Hybrid AI model crafts smooth, high-quality videos in seconds
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New tool evaluates progress in reinforcement learning
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Novel AI model inspired by neural dynamics from the brain
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Making AI models more trustworthy for high-stakes settings
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The MIT-Portugal Program enters Phase 4
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Merging design and computer science in creative ways
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Designing a new way to optimize complex coordinated systems
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“Periodic table of machine learning” could fuel AI discovery
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3D modeling you can feel
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MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
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Making AI-generated code more accurate in any language
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A faster way to solve complex planning problems
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Training LLMs to self-detoxify their language
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New method efficiently safeguards sensitive AI training data
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Could LLMs help design our next medicines and materials?
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New method assesses and improves the reliability of radiologists’ diagnostic reports
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Researchers teach LLMs to solve complex planning challenges
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For this computer scientist, MIT Open Learning was the start of a life-changing journey
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MIT Maritime Consortium sets sail
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AI tool generates high-quality images faster than state-of-the-art approaches
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Robotic helper making mistakes? Just nudge it in the right direction
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Markus Buehler receives 2025 Washington Award
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Like human brains, large language models reason about diverse data in a general way
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AI model deciphers the code in proteins that tells them where to go
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Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building
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Can deep learning transform heart failure prevention?